Raymond WIDJAJA

Raymond WIDJAJA

Bachelor of Science in Computational Finance

City University of Hong Kong

Biography

Raymond Widjaja is a student of Computational Finance at the City University of Hong Kong. He is also the Head of Quantitative Research in CityU Student Research and Investment Club.

Raymond’s experience range from data analysis, consulting, quantitative research and risk management. Also, he represents the Department of Economics and Finance in the Rotman International Trading Competition 2021 as an Algorithmic Trader, which the team continued to be the best-performing team in Asia, beating Harvard, UCLA, and NYU, to name a few.

Raymond is currently studying toward his Bachelors Degree in City University of Hong Kong. His research interests include quantitative trading, asset pricing, machine learning and time series model.

Download my resumé.

Interests
  • Quantitative Finance
  • Machine Learning
  • Financial Econometrics
  • Financial Technology
Education
  • BsC in Computational Finance, 2021

    City University of Hong Kong

Experience

 
 
 
 
 
Imagine Software
Financial Technology Intern
Imagine Software
Mar 2021 – Present Hong Kong

Responsibilities include:

  • Developed JavaScript API to accomodate client changing trading strategies with appropirate risk analytics and data aggregation tools
  • Maintain and continuously improve trading platform for pricing complex financial products using Excel Wrapper and autopricer
 
 
 
 
 
XY Capital
Quantitative Analyst Intern
XY Capital
Sep 2020 – Dec 2020 Hong Kong

Responsibilities include:

  • Develop trading strategy using Machine Learning models for equity and futures market with Sharpe Ratio above 2
  • Research relevant academic papers and develop system for strategy backtesting automation through Python
 
 
 
 
 
Argyle Street Management
Summer Data Analyst
Argyle Street Management
Jul 2020 – Aug 2020 Hong Kong

Responsibilities include:

  • Analysing special situations, corporate financial distress and restructuring.
  • Automation of NAV report, portfolio valuation and risk resports using VBA
  • Develop macro to improve workflow and make existing database more streamlined

Accomplish­ments

Coursera
Neural Networks and Deep Learning
See certificate
Formulated informed blockchain models, hypotheses, and use cases.
See certificate
DataCamp
Object-Oriented Programming in R
See certificate

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